Learning query transformation rules is vital for the success of semantic query optimization in domains where the user cannot provide a comprehensive set of integrity constraints. Finding these rules is a discovery task because of the lack of targets. Previous approaches to learning query transformation rules have been based on analyzing past queries. We propose a new approach to learning query transformation rules based on analyzing the existing data in the database. This paper describes a… CONTINUE READING